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MiniMax M2.7 vs o4 Mini

MiniMax M2.7 leads o4 Mini on the Artificial Analysis Intelligence Index, 22.8 to 16.7, and MiniMax M2.7 costs 3.7x less per output token ($1.20 vs $4.40 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Replace MiniMax M2.7 Replace o4 Mini
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
47
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
5
vs boards won of 52 shared

MiniMax M2.7 or o4 Mini: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding.

Pick o4 Mini for work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
52
MiniMax M2.7 only
22
o4 Mini only
46
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
MiniMax M2.7 36.2 from 3 benchmarks, o4 Mini not benchmarked.
Widest category
Web design, 31.9 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: MiniMax M2.7 1195 against o4 Mini 854, 42.6 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against o4 Mini $4.40 per million output tokens, 3.7x apart.
Context window
MiniMax M2.7 takes 205K tokens, o4 Mini 200K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMiniMax M2.7Barso4 MiniTies
Coding32
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge72
Web design60
General191
All shared boards475
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
LMArena WebDev1399Not measuredOnly MiniMax M2.7 measured
AA Coding Index52.6Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Vals AI)79.9%82.2%o4 Mini
SWE-bench Verified (Vals AI)73.8%Not measuredOnly MiniMax M2.7 measured
Vibe Code Bench (Vals AI)11.9%Not measuredOnly MiniMax M2.7 measured
Code migration (Vals AI)8.7%Not measuredOnly MiniMax M2.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)48.7%Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)Not measured85.9%Only o4 Mini measured
SciCode50.1%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)39.4%15.2%MiniMax M2.7
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdML37.0%52.6%o4 Mini
ALE-Bench599.3Not measuredOnly MiniMax M2.7 measured
LMArena Text: coding14541368MiniMax M2.7
LMArena Text: software and IT14461367MiniMax M2.7
LMArena WebDev: React1388Not measuredOnly MiniMax M2.7 measured
LMArena WebDev: HTML1401Not measuredOnly MiniMax M2.7 measured
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
AA Intelligence Index22.816.7MiniMax M2.7
Epoch Capabilities Index145.8145.5MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
AA Agentic Index15.3Not measuredOnly MiniMax M2.7 measured
Finance Agent (Vals AI)27.9%Not measuredOnly MiniMax M2.7 measured
Tax Agent Bench (Vals AI)6.9%Not measuredOnly MiniMax M2.7 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)28.4%Not measuredOnly MiniMax M2.7 measured
τ²-Bench Telecom84.8%55.6%MiniMax M2.7
METR time horizonsNot measured63.9%Only o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
GPQA Diamond86.6%74.5%MiniMax M2.7
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)87.4%78.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)29.6%16.5%MiniMax M2.7
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts14221351MiniMax M2.7
LMArena Text: expert14431343MiniMax M2.7
LMArena Text: hard prompts in English14411366MiniMax M2.7
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Kagi LLM BenchmarkNot measured67.6%Only o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
AIME91.0%83.7%MiniMax M2.7
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
OTIS Mock AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
ProofBench3.0%Not measuredOnly MiniMax M2.7 measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math14211389MiniMax M2.7
LMArena Text: mathematical work14371379MiniMax M2.7
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
MMLU Pro80.4%80.6%o4 Mini
LegalBench (Vals AI)84.0%79.2%MiniMax M2.7
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%59.0%MiniMax M2.7
TaxEval (Vals AI)66.6%74.8%o4 Mini
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)34.4%33.8%MiniMax M2.7
MMLU Pro (Artificial Analysis run)Not measured83.2%Only o4 Mini measured
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science14161354MiniMax M2.7
LMArena Text: medicine and healthcare14091361MiniMax M2.7
LMArena Text: legal and government14031350MiniMax M2.7
LMArena Text: business and finance14071325MiniMax M2.7
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
Design Arena: websites1243985MiniMax M2.7
Design Arena: UI components1210983MiniMax M2.7
Design Arena: game dev12091003MiniMax M2.7
Design Arena: data viz1233991MiniMax M2.7
Design Arena: 3D1195854MiniMax M2.7
Design Arena: all code categories1233976MiniMax M2.7
Design Arena: SVG1137Not measuredOnly MiniMax M2.7 measured
Design Arena: ASCII art1136Not measuredOnly MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)79.9%69.1%MiniMax M2.7
IFBench75.7%68.7%MiniMax M2.7
Long context reasoning (AA-LCR)78.3%61.0%MiniMax M2.7
DTBenchNot measured77.6%Only o4 Mini measured
LMCANot measured26.5%Only o4 Mini measured
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051353MiniMax M2.7
LMArena Text: instruction following14051320MiniMax M2.7
LMArena Text: creative writing13541294MiniMax M2.7
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English14261367MiniMax M2.7
LMArena Text: non-English13821337MiniMax M2.7
LMArena Text: Chinese14421354MiniMax M2.7
LMArena Text: German13981336MiniMax M2.7
LMArena Text: Japanese12601308o4 Mini
LMArena Text: Korean13141312MiniMax M2.7
LMArena Text: French14241364MiniMax M2.7
LMArena Text: Spanish14021346MiniMax M2.7
LMArena Text: Russian13831334MiniMax M2.7
LMArena Text: Polish13871358MiniMax M2.7
LMArena Text: multi-turn14121350MiniMax M2.7
LMArena Text: longer queries14181315MiniMax M2.7
LMArena Text: writing and language13761316MiniMax M2.7
LMArena Text: entertainment and media13601308MiniMax M2.7
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2.7 and o4 Mini
BenchmarkMiniMax M2.7o4 MiniLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

MiniMax M2.7$0.0009Fits in one request
o4 Mini$0.0033Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
o4 Mini$0.068Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
o4 Mini$0.264Exceeds the context window

MiniMax M2.7 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of MiniMax M2.7 and o4 Mini
SpecificationMiniMax M2.7OpenAI o4 Mini
MakerMiniMaxOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 18, 2026April 16, 2025
Context window205K200K
Input $/Mtok$0.30$1.10
Output $/Mtok$1.20$4.40
Coding index36.2Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than o4 Mini for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding. Pick o4 Mini for work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.

Which is cheaper, MiniMax M2.7 or o4 Mini?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or o4 Mini?

MiniMax M2.7, with 205K tokens against 200K.

How many benchmarks is the MiniMax M2.7 vs o4 Mini comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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